Hitoshi Funabashi

724 citations
28 papers · 588 · h-index 12

Impact in

Papers in

    • Metabolomics and Mass Spectrometry Studies 3
    • Pluripotent Stem Cells Research 3
    • Drug Transport and Resistance Mechanisms 4

Hitoshi Funabashi

27 papers receiving 577 citations

Peers

Hitoshi Funabashi
Comparison fields: 5 of 96
  • Health, Toxicology and Mutagenesis 84
  • Pharmacology 49
  • Molecular Biology 279
  • Small Animals 22
  • Spectroscopy 49
Replace Takaki Seki with:
Takaki Seki Japan
Chandikumar S. Elangbam United States
Takeshi Kunimatsu Japan
Anita Annas Sweden
Erik Ullerås Sweden
Naoya Masutomi Japan
Pilar Prieto Italy
Seiji Tsuboi Japan
Alice Limonciel Austria
Hitoshi Funabashi relative to Takaki Seki Japan Takaki Seki's profile →
Citations per field
00.5×3.4×
Takaki Seki · 1×
Citations per year

Countries citing papers authored by Hitoshi Funabashi

Since Specialization
Citations

This map shows the geographic impact of Hitoshi Funabashi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hitoshi Funabashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hitoshi Funabashi more than expected).

Fields of papers citing papers by Hitoshi Funabashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hitoshi Funabashi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hitoshi Funabashi. The network helps show where Hitoshi Funabashi may publish in the future.

Co-authors

The 25 scholars most cited alongside Hitoshi Funabashi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hitoshi Funabashi Line = papers co-authored together Hitoshi Funabashi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Intestinal microflora are necessary for development of spontaneous adenocarcinoma of the large intestine in T-cell receptor beta chain and p53 double-knockout mice.
2001123
2 201086
3 201255
4 201047
5 201444
6 201435
7 200328
8 201024
9 201024
10 201422
11 201515
12 200014
13 201511
14 20159
15 20158
16 20127
17 20156
18 20125
19 20134
20 20114

About Hitoshi Funabashi

Hitoshi Funabashi is a scholar working on Molecular Biology, Oncology, Cellular and Molecular Neuroscience, Pharmacology and Endocrinology, Diabetes and Metabolism, having authored 28 papers that have together received 588 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (4 papers), Carcinogens and Genotoxicity Assessment (3 papers), Neuroscience and Neural Engineering (3 papers), Effects and risks of endocrine disrupting chemicals (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Pluripotent Stem Cells Research (3 papers) and Cardiac electrophysiology and arrhythmias (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (84 citations), Pharmacology (49 citations), Molecular Biology (279 citations), Small Animals (22 citations) and Spectroscopy (49 citations). Hitoshi Funabashi has collaborated with scholars based in Japan and United States. Frequent co-authors include Takeshi Kunimatsu, Juki Kimura, Takaki Seki, Izuru Miyawaki, Kiyoko Bando, Takeshi Bamba, Eiichiro Fukusaki, Jun Sakai, Hiroshi Inada and Yuriko Nagata. Their work appears in journals such as Toxicology and Applied Pharmacology, Regulatory Toxicology and Pharmacology, Mutation Research/Genetic Toxicology and Environmental Mutagenesis, Experimental and Toxicologic Pathology and Toxicologic Pathology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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